Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods
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Updated
May 1, 2024 - MATLAB
Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods
MATLAB code for performing power flow analysis on electrical networks using different algorithms provided by MATPOWER, a powerful simulation tool widely used in power system engineering.
MATLAB programs for solving the power-flow equations using either of methods: Gauss-Seidel (G-S), Newton-Raphson (N-R) & Fast Decoupled Load Flow (FDLF).
Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.
Project on using MATLAB to solve matrices using various techniques like Gaussian elimination and LU decomposition, for real-world problems. Matrix solving is important in various fields, and this project will help deepen understanding and apply MATLAB to solve matrices.
This is the MATLAB code and Python code written to solve Laplace Equation for 2D steady state heat-conduction equation using various FDM techniques.
A MATLAB implementation of a 2D particle physics simulation based on solving MLCP problem using Projected Gauss-Seidel method.
Codes and explanations for some numerical methods to find solutions to linear algebraic equations.
Projects written in MATLAB to implement various mathematical concepts in code.
Numerical methods for solving linear systems and non-linear equations
Solution of system of linear equations.
Thermal study of a tetramaterial cross section bar
One-dimensional Transient Heat Conduction in a semi-infinite Domain
This repositary contains the MATLAB implementation of main numerical methods like Newton-Raphson, Simpson's integration and numerical ODE solver.
Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET
System of linear equations solver using numerical analysis with simulation
Numerical Analysis course repository.
Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and more.
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